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Aziro (formerly MSys Technologies) 2019 Tech Predictions: Smart Storage, Cloud’s Bull Run, Ubiquitous DevOps, and Glass-Box AI

2019 brings us to the second-last leg of this decade. From the last few years, IT professionals have been propagating rhetoric. They state that the technology landscape is seeing a revolutionary change. But, most of the “REVOLUTIONARY” changes, has, over the time lost their gullibility. Thanks to the awe-inspiring technologies like AI, Robotics, and upcoming 5G networks most tech pundits consider this decade to be a game changer in the technology sector.As we make headway into 2019, the internet is bombarded with numerous tech prophecies. Aziro (formerly MSys Technologies) presents to you the 2019 tech predictions based on our Storage, Cloud, DevOps and digital transformation expertise.1. Software Defined Storage (SDS)Definitely, 2019 looks promising for Software Defined Storage. It’ll be driven by changes in Autonomous Storage, Object Storage, Self-Managed DRaaS and NVMes. But, SDS will also be required to push the envelope to acclimatize and evolve. Let’s understand why so.1.1 Autonomous Storage to Garner MomentumBacked by users’ demand, we’ll witness the growth of self-healing storage in 2019. Here, Artificial Intelligence powered by intelligent algorithms will play a pivotal role. Consequently, companies will strive to ensure uninterrupted application performance, round the clock.1.2 Self-Managed Disaster Recovery as a Service (DRaaS) will be ProminentSelf-Managed DRaaS reduces human interference and proactively recovers business-critical data. It then duplicates the data in the Cloud. This brings relief during an unforeseen event. Ultimately, it cuts costs. In 2019, this’ll strike chords with enterprises, globally, and we’ll witness DRaaS gaining prominence.1.3 The Pendulum will Swing Back to Object Storage as a Service (STaaS)Object Storage makes a perfect case for cost-effective storage. Its flat structure creates a scale-out architecture and induces Cloud compatibility. It also assigns unique Metadata and ID for each object within storage. This accelerates the data retrieval and recovery process. Thus, in 2019, we expect companies to embrace Object Storage to support their Big data needs.1.4 NMVes Adoption to Register TractionIn 2019, Software Defined Storage will accelerate the adoption rate of NVMes. It rubs off glitches associated with traditional storage to ensure smooth data migration while adopting NVMes. With SDS, enterprises need not worry about the ‘Rip and Replace’ hardware procedure. We’ll see vendors design storage platforms that append to NVMes protocol. For 2019, NMVes growth will mostly be led by FC-NVME and NVMe-oF.2. Hyperconverged Infrastructure (HCI)In 2019, HCI will remain the trump card to create a multi-layer infrastructure with centralized management. We’ll see more companies utilize HCI to deploy applications quickly. This’ll circle around a policy-based and data-centric architecture.3. Hybridconverged Infrastructure will Mark its FootprintHybridconverged Infrastructure (HCI.2) comes with all the features of its big brother – Hyperconverged Infrastructure (HCI.1). But, one extended functionality makes the latter smarter. Unlike HCI.1, it allows connecting with an external host. This’ll help HCI.2 mark its footprint in 2019.4. VirtualizationIn 2019, Virtualization’s growth will be centered around Software Defined Data Centers and Containers.4.1 ContainersContainer technology is ace in the hole to deliver promises of multi-cloud – cost efficacy, operational simplicity, and team productivity. Per IDC, 76 percent of users’ leverage containers for mission-critical applications.4.1.1 Persistent Storage will be a Key ConcernIn 2019, Containers’ users will envision a cloud-ready persistent storage platform with flash arrays. They’ll expect their storage service providers to implement synchronous mirroring, CDP – continuous data protection and auto-tiering.4.1.2 Kubernetes Explosion is ImminentThe upcoming Kubernetes version is rumored to include a pre-defined configuration template. If true, it’ll enable an easier Kubernetes deployment and use. This year, we are also expecting a higher number of Kubernetes and containers synchronization. This’ll make Kubernetes’ security a burgeoning concern. So, in 2019, we should expect stringent security protocols around Kubernetes deployment. It can be multi-step authentication or encryption at the cluster level.4.1.3 Istio to Ease Kubernetes Deployment HeadacheIstio is an open source service mesh. It addresses the Microservices’ application deployment challenges like failure recovery, load balancing, rate limiting, A/B testing, and canary testing. In 2019, companies might combine Istio and Kubernetes. This can facilitate a smooth Container orchestration, resulting in an effortless application and data migration.4.2 Software Defined Data CentersMore companies will embark on their journey to Multi-Cloud and Hybrid-Cloud. They’ll expect a seamless migration of existing applications to a heterogeneous Cloud environment. As a result, SDDC will undergo a strategic bent to accommodate the new Cloud requirements.In 2019, companies will start cobbling DevOps and SDDC. The pursuit of DevOps in SDDC will be to instigate a revamp of COBIT and ITIL practice. Frankly, without wielding DevOps, cloud-based SDDC will remain in a vacuum.5. DevOpsIn 2019, companies will implement a programmatic DevOps approach to accelerate the development and deployment of software products. Per this survey, DevOps enabled 46x code deployment. It also skyrocketed the deploy lead time by 2556x. This year, AI/ML, Automation, and FaaS will orchestrate changes to DevOps.5.1 DevOps Practice Will Experience a Spur with AI/MLIn 2019, AI/ML centric applications will experience an upsurge. Data science teams will leverage DevOps to unify complex operations across the application lifecycle. They’ll also look to automate the workflow pipeline – to rebuild, retest and redeploy, concurrently.5.2 DevOps will Add Value to Functions as a Service (FaaS)Functions as a Service aims to achieve serverless architecture. It leads to a hassle-free application development without perturbing companies to handle the monolithic REST server. It is like a panacea moment for developers.Hitherto, FaaS hasn’t achieved a full-fledged status. Although FaaS is inherently scalable, selecting wrong user cases will increase the bills. Thus, in 2019, we’ll see companies leveraging DevOps to fathom productive user cases and bring down costs drastically.5.3 Automation will be the Mainstream in DevOpsManual DevOps is time-consuming, less efficient, and error-prone. As a result, in 2019, CI/CD automation will become central in the DevOps practice. Consequently, Infrastructure as a Code to be in the driving seat.6. Cloud’s Bull Run to ContinueIn 2019, organizations will reimagine the use of Cloud. There will be a new class of ‘born-in-cloud’ start-ups, that will extract more value by intelligent Cloud operations. This will be centered around Multi-Cloud, Cloud Interoperability, and High Performance Computing. More companies will look to establish a Cloud Center of Excellence (CoE). Per RightScale survey, 57 percent of enterprises already have a Cloud Center of Excellence.6.1 Companies will Drift from “One-Cloud Approach.”In 2018, companies realized that having a ‘One-Cloud Approach’ encumbers their competitiveness. In 2019, Cloud leadership teams will bask upon the Hybrid-Cloud Architecture. Hybrid-Cloud will be the new normal within Cloud Computing in 2019.6.2 Cloud Interoperability will be a Major ConcernIn 2019, companies will start addressing the issues of interoperability by standardizing Cloud architecture. The use of the Application Programming Interface (APIs) will also accelerate. APIs will be the key to instill the capability of language neutrality, which augments system portability.6.3 High Performance Computing (HPC) will Get its Place on CloudIndustries such as Finance, Deep Learning, Semiconductors or Genomics are facing the brunt of competition. They’ll envision to deliver high-end compute-intensive applications with high performance. To entice such industries, Cloud providers will start imparting HPC capabilities in their platform. We’ll also witness large scale automation in Cloud.7. Artificial IntelligenceFor 2019 AI/ML will come out of the research and development model to be widely implemented in organizations. Customer engagements, infrastructure optimization, and Glass-Box AI, will be in the forefront.7.1 AI to Revive Customer EngagementsBusinesses (startups or enterprise) will leverage AI/ML to enable a rich end-user experience. Per Adobe, enterprises using AI will more than double in 2019. Tech and non-tech companies, alike, will strive to offer personalized services leveraging Natural Language Processing. The focus will remain to create a cognitive customer persona to generate tangible business impacts.7.2 AI for Infrastructure OptimizationIn 2019, there will a spur in the development of AI embedded monitoring tools. This’ll help companies to create a nimble infrastructure to respond to the changing workload. With such AI-driven machines, they’ll aim to cut down the infrastructure latency, infuse robustness in applications, enhance performances, and amplify outputs.7.3 Glass-Box AI will be crucial in Retail, Finance, and HealthcareThis is where Explainable AI will play its role. Glass-Box AI will create key customers’ insights with underlying methods, errors or biases. In this way, retailers don’t necessarily follow every suggestion. They can sort out responses that fit rights in that present scenario. The bottom-line will be to avoid customer altercations and bring out fairness in the process.

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High Performance Computing Storage – Hybrid Cloud, Parallel File Systems, Key Challenges, and Top Vendors’ Products

The toughest Terminator, T-1000 can demonstrate rapid shapeshifting, near-perfect mimicry, and recovery from damage. This is because it is made of mimetic polyalloy with robust mechanical properties. T-1000s naturally require top of the world speed, hi-tech communication system, razor-sharp analytical speed, and most powerful connectors and processors. Neural networks are also critical to the functioning of terminators. It stacks an incredible amount of data in nodes, which then communicates with the outer world depending on the input received. We infer one important thing – these Terminators produce an arduous amount of data. Therefore, it must require a sleek data storage system that scales and carry capabilities to compute massive datasets. Which, rings a bell – just like the case of terminators, High Performance Computing (HPC) also require equally robust storage to maintain compute performance. Well, HPC has been the nodal force to path defining innovations and scientific discoveries. This is because HPC enables processing of data and powering highly complex calculations at the speed of light. To give it a perspective, HPC leverages compute to deliver high performance. The rise of AI/ML, deep learning, edge computing and IoT created a need to store and process incredible amount of data. Therefore, HPC became the key enabler to bring digital technologies within the realm of daily use. In layman’s term, HPC can be referred as the supercomputers. The Continual Coming of the age of HPC The first supercomputer – CDC 6600 reigned for five years from its inception in 1964. CDC 6000 was paramount to the critical operations of the US government and the US military. It was considered 10 times faster to its nearest competitor – IBM 7030 Stretch. Well, it worked with a speed of up to 3 million floating-point operations per second (flops). The need for complex computer modeling and simulation never stopped over the decades. Likewise, we also witnessed evolution of high-performance computers. These supercomputer were made of core-components, which had more power and vast memories to handle complex workloads and analyze datasets. Any new release of supercomputers would make its predecessors obsolete. Just like new robots from the Terminator series. The latest report by Hyperion Research states that iterative simulation workloads and new workloads such as Al and other Big Data jobs would be driving the adoption of HPC Storage. Understanding Data Storage as an Enabler for HPC Investing in HPC is exorbitant. Therefore, one must bear in mind that it is essential to have a robust and equally proficient data storage system that runs concurrently with the HPC environment. Further some, HPC workloads differ based on its use cases. For example, HPC at the government & military secret agency consumes heavier workloads versus HPC at a national research facility. This means HPC storage require heavy customization for differential storage architecture, based on its application. Hybrid Cloud – An Optimal Solution for Data-Intensive HPC Storage Thinking about just the perfect HPC storage will not help. There has to an optimal solution that scales based on HPC needs. Ideally, it has to the right mix of best of the both – traditional storage (on-prem disk drives) and cloud (SSDs and HDDs). Complex, data-intensive IOPS can be channeled to SSDs, while usual streaming data can be handled by disk drives. An efficient combination of Hybrid Cloud – software defined storage and hardware configuration ultimately helps scale performance, while eliminating the need to have a storage tier separately. The software-defined storage must come with key characteristics – write back, read persistence performance statistics, dynamic flush, and I/O histogram. Finally, the HPC storage should support parallel file systems by handling complex sequential I/O. Long Term Solution (LTS) Lustre for Parallel File System More than 50 percent of the global storage architecture prefer Lustre – an open-source parallel file system to support HPC clusters. Well, for starters it offers free installation. Further, it provides massive data storage capabilities along with unified configuration, centralized management, simple installation, and powerful scalability. It is built on LTS community release allowing parallel I/O spanning multiple servers, clients, and storage devices. It offers open APIs for deep integration. The throughput is more than 1 terabyte/second. It also offers integrated support for an application built on Hadoop MapReduce applications. Challenges of Data Management in Hybrid HPC Storage Inefficient Data Handling The key challenge in implementing hybrid HPC storage is inefficient data handling. Dealing with the large and complex dataset and accessing it over WAN is time-consuming and tedious. Security Security is an another complex affair for HPC storage. The hybrid cloud file system also must include in-built data security. These small files must not be vulnerable to external threats. Providing SMBv3 encryption for files moving within the environment could be a great deal. Further, building the feature of snapshot replication can deliver integrated protection to the data in a seamless manner. Right HPC product End users usually find it difficult to choose the right product relevant to their services and industry. Hyperion Research presents an important fact. It states, “Although a large majority (82%) of respondents were relatively satisfied with their current HPC storage vendors, a substantial minority said they are likely to switch storage vendors the next time they upgrade their primary HPC system. The implication here is that a fair number of HPC storage buyers are scrutinizing vendors for competencies as well as price.” Top HPC Storage products Let’s briefly understand the top varied HPC Storage products in the market. ClusterStor E1000 All Flash – By Cray (A HPE Company) ClusterStor E1000 enables handling of the data at the speed of exascale. Its core is a combination of SSD and HDD. ClusterStor 1000 is a policy-driven architecture enabling you to move data intelligently. ClusterStor E1000 HDD-based configuration offers up to 50% more performance with the same number of drives than its closest competitors. This all-flash configuration is perfect for mainly small files, random access, and terabytes to single-digit PB capacity requirements. Source: Cray Website HPE Apollo 2000 System – By HPE The HPE Apollo 2000 Gen10 system is designed as an enterprise-level, density-optimized, 2U shared infrastructure chassis for up to four HPE ProLiant Gen10 hot-plug servers with the entire traditional data center attributes—standard racks and cabling and rear-aisle serviceability access. A 42U rack fits up to 20 HPE Apollo 2000 system chassis, accommodating up to 80 servers per rack. It delivers the flexibility to tailor the system to the precise needs of your workload with the right compute, flexible I/O, and storage options. The servers can be “mixed and matched” within a single chassis to support different applications, and it can even be deployed with a single server, leaving room to scale as customer’s needs grow. Source: HPE Website PRIMERGY RX2530 M5 – By Fujitsu The FUJITSU Server PRIMERGY RX2530 M5 is a dual-socket rack server that provides high performance of the new Intel® Xeon® Processor Scalable Family CPUs, expandability of up to 3TB of DDR4 memory and the capability to use Intel® Optane™ DC Persistent Memory, and up to 10x 2.5-inch storage devices – all in a 1U space saving housing. The system can also be equipped with the new 2nd generation processors of the Intel® Xeon® Scalable Family (CLX-R) delivering industry-leading frequencies. Accordingly, the PRIMERGY RX2530 M5 is the optimal system for large virtualization and scale-out scenarios, databases and for high-performance computing. Source: Fujitsu Website PowerSwitch Z9332F-ON – By Dell EMC The Z9332F-ON 100/400GbE fixed switch comprises Dell EMC’s latest disaggregated hardware and software data center networking solutions, providing state-of-the-art, high-density 100/400 GbE ports and a broad range of functionality to meet the growing demands of today’s data center environment. These innovative, next-generation open networking high-density aggregation switches offer optimum flexibility and costeffectiveness for the web 2.0, enterprise, mid-market and cloud service provider with demanding compute and storage traffic environments. The compact PowerSwitch Z9332F-ON provides industry-leading density of either 32 ports of 400GbE in QSFP56-DD form factor or 128 ports of 100 or up to 144 ports of 10/25/50 (via breakout), in a 1RU design. Source: Dell EMC Website E5700 – By NetApp E5700 hybrid-flash storage systems deliver high IOPS with low latency and high bandwidth for your mixed workload apps. Requiring just 2U of rack space, the E5700 hybrid array combines extreme IOPS, sub-100 microsecond response times, and up to 21GBps of read bandwidth and 14GBps of write bandwidth. With fully redundant I/O paths, advanced data protection features, and extensive diagnostic capabilities, the E5700 storage systems enable you to achieve greater than 99.9999% availability and provide data integrity and security. Source: NetApp Website ScaTeFS – By NEC Corporation The NEC Scalable Technology File System (ScaTeFS) is a distributed and parallel file system designed for large-scale HPC systems requiring large capacity. To realize load balancing and scale-out, all typical basic functions of a file system (read/write operation, file/directory generation, etc.) are distributed to multiple IO servers uniformly since ScaTeFS does not need a master server for managing the entire file system such as a metadata server. Therefore, the throughput of the entire system increases, and parallel I/O processing can be used for large files. Source: NEC Website HPC-X ScalableHPC – By Mellanox Mellanox HPC-X ScalableHPC toolkit is a comprehensive software package that includes MPI and SHMEM/PGAS communications libraries. HPC-X ScalableHPC also includes various acceleration packages to improve both the performance and scalability of high performance computing applications running on top of these libraries, including UCX (Unified Communication X) which accelerates point-to-point operations, and FCA (Fabric Collectives Accelerations) which accelerates collective operations used by the MPI/PGAS languages. This full-featured, tested and packaged toolkit enables MPI and SHMEM/PGAS programming languages to achieve high performance, scalability and efficiency, and to assure that the communication libraries are fully optimized of the Mellanox interconnect solutions. Source: Mellanox Website Panasas ActiveStor-18 – By Mircorway Panasas® is the performance leader in hybrid scale-out NAS for unstructured data, driving industry and research innovation by accelerating workflows and simplifying data management. ActiveStor® appliances leverage the patented PanFS® storage operating system and DirectFlow® protocol to deliver high performance and reliability at scale from an appliance that is as easy to manage as it is fast to deploy. With flash technology speeding small file and metadata performance, ActiveStor provides significantly improved file system responsiveness while accelerating time-to-results. Based on a fifth-generation storage blade architecture and the proven Panasas PanFS storage operating system, ActiveStor offers an attractive low total cost of ownership for the energy, government, life sciences, manufacturing, media, and university research markets. Source: Mircoway Website Future Ahead Dataset is growing enormously. And, there will be no end to it. HPC storage must be able to process data at the speed of the light to maintain compute efficiency at peak levels. HPC storage should climb to exascale from petascale. It must have robust in-built security, be fault-tolerant, be modular in design and most importantly, scale seamlessly. HPC storage based on hybrid cloud technology is a sensible path ahead; however, the efforts must be geared to control its components at runtime. Further, focus should also be on dynamic marshaling via the applet provisioning and in-built automation engine. This will improve compute performance and reduce costs.

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